Clustering
Watch Martin White explain the unsupervised analysis technique of clustering and its many applications.
Key points from the video:
- Clustering is an unsupervised analysis technique that divides data points into groups or clusters.
- When data is clustered, similar points belong to the same cluster and dissimilar points belong to different clusters.
- Clustering can help you get to know the demographics of your customer base.
- The results of an unsupervised clustering analysis can help you define a precise problem.
- There are many applications of clustering outside of customer and product data.
